cicekler Dataset
Versions
2024-06-07 1:37pm
v25
· 5 months ago
2024-06-01 7:29pm
v24
· 5 months ago
2024-06-01 6:18pm
v23
· 5 months ago
2024-05-30 12:39am
v22
· 5 months ago
2024-05-28 4:16pm
v21
· 5 months ago
2024-05-28 3:38pm
v20
· 5 months ago
2024-04-25 4:31pm
v19
· 6 months ago
2024-02-17 3:31pm
v18
· 8 months ago
2024-02-01 5:56pm
v17
· 9 months ago
2024-01-03 8:58pm
v16
· 10 months ago
2023-12-15 5:16pm
v15
· a year ago
2023-12-14 6:23pm
v14
· a year ago
2023-12-14 4:03pm
v13
· a year ago
2023-12-14 2:39pm
v12
· a year ago
2023-12-08 12:29am
v11
· a year ago
2023-12-06 3:17pm
v10
· a year ago
2023-12-04 10:29pm
v9
· a year ago
2023-12-04 1:38am
v8
· a year ago
2023-12-03 7:43pm
v7
· a year ago
2023-11-30 4:41pm
v6
· a year ago
2023-11-30 2:10pm
v5
· a year ago
2023-11-30 12:44pm
v4
· a year ago
2023-11-29 8:22pm
v3
· a year ago
v16
2024-01-03 8:58pm
Generated on Jan 3, 2024
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
3601 Total Images
View All ImagesDataset Split
Train Set 88%
3165Images
Valid Set 8%
293Images
Test Set 4%
143Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Grayscale: Apply to 3% of images
Blur: Up to 0.75px
Noise: Up to 1.3% of pixels